+1 On Mon, Sep 16, 2024 at 5:56 PM Dongjoon Hyun <dongjoon.h...@gmail.com> wrote: > > +1 > > Dongjoon > > On Mon, Sep 16, 2024 at 10:57 AM Holden Karau <holden.ka...@gmail.com> wrote: >> >> +1 >> >> Twitter: https://twitter.com/holdenkarau >> Books (Learning Spark, High Performance Spark, etc.): https://amzn.to/2MaRAG9 >> YouTube Live Streams: https://www.youtube.com/user/holdenkarau >> Pronouns: she/her >> >> >> On Mon, Sep 16, 2024 at 10:55 AM Zhou Jiang <zhou.c.ji...@gmail.com> wrote: >>> >>> + 1 >>> Sent from my iPhone >>> >>> On Sep 16, 2024, at 01:04, Dongjoon Hyun <dongjoon.h...@gmail.com> wrote: >>> >>> >>> >>> Please vote on releasing the following candidate as Apache Spark version >>> 4.0.0-preview2. >>> >>> The vote is open until September 20th 1AM (PDT) and passes if a majority +1 >>> PMC votes are cast, with a minimum of 3 +1 votes. >>> >>> [ ] +1 Release this package as Apache Spark 4.0.0-preview2 >>> [ ] -1 Do not release this package because ... >>> >>> To learn more about Apache Spark, please see https://spark.apache.org/ >>> >>> The tag to be voted on is v4.0.0-preview2-rc1 (commit >>> f0d465e09b8d89d5e56ec21f4bd7e3ecbeeb318a) >>> https://github.com/apache/spark/tree/v4.0.0-preview2-rc1 >>> >>> The release files, including signatures, digests, etc. can be found at: >>> https://dist.apache.org/repos/dist/dev/spark/v4.0.0-preview2-rc1-bin/ >>> >>> Signatures used for Spark RCs can be found in this file: >>> https://dist.apache.org/repos/dist/dev/spark/KEYS >>> >>> The staging repository for this release can be found at: >>> https://repository.apache.org/content/repositories/orgapachespark-1468/ >>> >>> The documentation corresponding to this release can be found at: >>> https://dist.apache.org/repos/dist/dev/spark/v4.0.0-preview2-rc1-docs/ >>> >>> The list of bug fixes going into 4.0.0-preview2 can be found at the >>> following URL: >>> https://issues.apache.org/jira/projects/SPARK/versions/12353359 >>> >>> This release is using the release script of the tag v4.0.0-preview2-rc1. >>> >>> FAQ >>> >>> ========================= >>> How can I help test this release? >>> ========================= >>> >>> If you are a Spark user, you can help us test this release by taking >>> an existing Spark workload and running on this release candidate, then >>> reporting any regressions. >>> >>> If you're working in PySpark you can set up a virtual env and install >>> the current RC and see if anything important breaks, in the Java/Scala >>> you can add the staging repository to your projects resolvers and test >>> with the RC (make sure to clean up the artifact cache before/after so >>> you don't end up building with a out of date RC going forward).
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